Master Computer Vision & Data Science

M Computer Vision & Data Science, Master’s Degree, Full-time

Are you interested in automating visual inspections with artificial intelligence and do you have a Bachelor's degree in ICT, Applied Mathematics, Engineering or other related technical field? Then start with the in-depth master's programme Computer Vision & Data Science and earn your master's degree in one year. During your studies, you will specialise in applied research in the fields of deep learning and computer vision.

Overview

Degree

  • Master of Science

Study start

  • September

Location

  • Leeuwarden

Standard duration

1 year

Fees

  • tuition fee single degree (MA) EU €1084 / Non-EU €7266
View all costs

What to expect?

The vast majority of data generated every day is image data, which is why image data analysis is one of the most important focus areas for modern Data Science and Artificial Intelligence. The field is evolving at such a rapid pace that the demand for image data science professionals is extremely high. In the future, any visual inspection task may be automated. It is therefore important that a new generation of applied researchers and engineers is ready to take advantage of the countless possibilities offered by modern data science.

Core tasks of an image data professional are:

  • Designing, developing and testing machine learning algorithms for automating visual inspections.
  • Creating, balancing and maintaining annotated datasets, in collaboration with domain experts.
  • Optimising and scaling the developed algorithms.
  • Carrying out methodologically correct research.
  • Keeping abreast of relevant and current trends and developments in the field.

The programme covers various topics such as machine learning, deep learning, computer vision, mathematics, programming and many more. As a student, you will learn to acquire the knowledge and skills to successfully find a solution to real-life problems. You will be supported by the experts of the professorship Computer Vision & Data Science who have been working in this field for many years.

Educational programme

The master’s programme is a full time programme of one year. Iteratively working towards the practical application of innovative solutions is at the core of the programme. In a master-apprentice stile learning environment you will be working on real-life applied research projects. Where knowledge and skills are integrated in applied research, with attention for ethics, communicational skills and professional development.

"Because the ability to automatically analyse large amounts of image data is crucial to the future of many industries."

Bert Garlich | CEO ZiuZ Visual Intelligence

Field of expertise

After completing the master's programme, you may add MSc to your name. A degree that will also make you an international presence. 

After successfully completing the Computer Vision & Data Science master's programme, you will have developed into an image data science professional. You will be able to design deep learning architectures for big image data analysis and then implement these (enabling technology) in a wide range of domains/sectors. 

As graduate master's professional you can, amongst others, fill the following positions (at small companies to multinationals): 

  • Data Science Specialist
  • Computer Vision Engineer
  • Deep Learning Engineer
  • Artificial Intelligence Engineer
  • Visual Image Specialist 

With this master's degree you will be well prepared for the international field.

Because this programme was developed by the Computer Vision & Data Science professorship, it has access to a broad professional network in which image data scientists are in high demand. Currently, the demand for data professionals and machine learning specialists is significantly higher than the supply. This gap is only partly filled by alumni of colleges and universities in the Netherlands, which is why companies in the North of the Netherlands attract specialists from abroad. With your Master's in Computer Vision & Data Science you are therefore almost guaranteed a job and work with specialists from all over the world.

Admission requirements

To achieve the right starting level within this one-year master’s programme, admission requirements are applied. The programme’s admission requirements are intended to determine that students have the right knowledge, insight and skills at the start of the programme. The requirements are:

Academic Requirements
  • a bachelor's degree;
  • demonstrable solid programming skills;
  • mathematical knowledge and skills required to understand the principles of computer vision and data science;
  • English language proficiency to communicate technical work adequately;
  • adequate motivation as evidenced by motivation letter and admission interview.

To ensure the quality of the programme we also apply a maximum enrolment of 20 students per academic year. The first come - first serve principle is applied.

The programme applies an admission procedure for the intake of new master students. For more information on the admission procedure and requirements, please contact our coordinator Meintsje de Vries, cvds@nhlstenden.com.

All non-EU/EEA applicants are required to submit an English proficiency test with their application to show that their English language skills are at a high enough level to succeed in their studies.

Exceptions can be made for students who have had their preparatory education in a country where English is the only official educational language.

If you are applying for a master’s degree and hold a diploma listed here, and English was included as part of the final exam curriculum, then the additional English language test is not required. The same applies to students who have attained General Certificates of Secondary Education (enough O and A/AS levels with the sufficient score), the European Baccalaureate Certificate, International Baccalaureate Diploma, or an IB career-related programme taught fully in English.

All other applicants need to submit a valid and adequate English language test result with their application.

NHL Stenden University of Applied Sciences accepts four kinds of official language tests in accordance with the Code of Conduct International Student in Dutch Higher Education:
• Academic IELTS 6.0 ** (with an advised minimum of 5.0 for each skill) 
• TOEFL 550 ** (paper-based), 213 (computer-based) or 80 (internet-based). Original test results must be sent directly from the Educational Testing Service to NHL Stenden. The TOEFL institution code for NHL Stenden is C652. 
• Cambridge ESOL score FCE-C (169, or higher). 
• TOEIC *670 (Listening and Reading) and 290 (Speaking and Writing). 

*We only accept TOEIC® certificates from public programs and not from institutional programs. Public programs are organized in public centers and delivers an official score report which is recognized worldwide.
** IELTS, TOEFL and TOEIC certificates more than 2 years old (at the start date of the study), will not be accepted. 

View the comparison of the different scores.

Please note: If you do not yet have the necessary level in English, you may enrol in our Preparatory English Language Course or the Pre-Master Programme.

Programme structure

The one-year Master's programme Computer Vision & Data Science consists of two semesters. During each semester, you work on a research project in the field of deep learning and computer vision. To get you up and running, we provide the basic knowledge you need to understand the state-of-the-art topics in the field. Within the project, you expand your knowledge and skills and work on further deepening and integration. Iteratively working towards the practical application of innovative solutions, with as main project deliverables a paper and prototype.

During the master’s programme you will work on these four learning outcomes:

  1. The student designs, develops and tests independently, within a team and methodologically correct, machine-learning algorithms that automate visual inspections that meet the customer's specifications. 
  2. The student creates and manages, in collaboration with domain expert(s), a representative annotated and balanced dataset with the required quality to develop and test machine-learning algorithms.  
  3. The student optimizes algorithms, independently and based on customer specifications, and makes them scalable so they can be applied in practice. 
  4. The student develops himself proactively and with a high degree of responsibility, to guarantee his own sustainable employability and thus also contribute to the development of professional practice and the knowledge domain.
model

By working on your project, you gather evidence in your portfolio for proving the learning outcomes at the end of the semester. Working towards this moment, in five sprints, the progress in the your development is regularly discussed and feedup, feedback and feedforward is given. The same learning outcomes are used throughout the programme, but the level of context (independence and complexity) increases programme, leading to Master level in the final semester.

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Specialisations

Practical learning

International Opportunities

Educational concept

You learn something by doing it yourself, by asking questions, by thinking, and by experimenting. That is why we challenge you to come up with innovative solutions for real-life applied research questions and to develop yourself while developing this rapidly evolving field.

Working on these research projects you will learn from the best, since we apply a master-apprentice learning environment. A technical expert in the field of Computer Vision & Data Science will be your supervisor and guide you to become an image data science professional. By working closely in a lab with staff and students and offering a combination of online and face-to-face education the educational environment is strengthened even further.